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Exploitation of environmental constraints in human and robotic grasping.

, , , , and . Int. J. Robotics Res., 34 (7): 1021-1038 (2015)

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Robots in Human Environments: Basic Autonomous Capabilities., , , , and . Int. J. Robotics Res., 18 (7): 684-696 (1999)State Representation Learning with Robotic Priors for Partially Observable Environments., , , and . IROS, page 6693-6699. IEEE, (2019)Special Issue on the Sixteenth International Symposium on Robotics Research, 2013., and . Int. J. Robotics Res., 34 (7): 835-836 (2015)Elastic Strips., and . Int. J. Robotics Res., 21 (12): 1031-1052 (2002)Benchmarking Hand and Grasp Resilience to Dynamic Loads., , , , , , , and . IEEE Robotics Autom. Lett., 5 (2): 1780-1787 (2020)Exploitation of Environmental Constraints in Human and Robotic Grasping., , , , and . ISRR, volume 114 of Springer Tracts in Advanced Robotics, page 393-409. Springer, (2013)Efficient and robust computation of an approximated medial axis., , and . Symposium on Solid Modeling and Applications, page 15-24. ACM, (2004)Coordination of Intrinsic and Extrinsic Degrees of Freedom in Soft Robotic Grasping., , and . ICRA, page 1-6. IEEE, (2018)Efficient FEM-Based Simulation of Soft Robots Modeled as Kinematic Chains., , , , , , and . ICRA, page 1-8. IEEE, (2018)Multi-Task Sensorization of Soft Actuators Using Prior Knowledge., and . ICRA, page 9416-9421. IEEE, (2019)